Paper Info
Title
A Neighborhood Selection Method For Cellular Automata Models
Abstract
A new neighborhood selection method is presented for both deterministic and probabilistic cellular automata models. The detection criteria are built explicitly on the corresponding contribution which is made to the value of each updated cell from each detected cell in the evolution. Theoretical analysis and numerical simulations demonstrate the effectiveness of this new method.
Year
DOI
Venue
2005
10.1142/S0218127405012168
INTERNATIONAL JOURNAL OF BIFURCATION AND CHAOS
Keywords
DocType
Volume
cellular automata, neighborhood, probabilistic cellular automata, system identification
Journal
15
Issue
ISSN
Citations 
2
0218-1274
7
PageRank 
References 
Authors
0.91
5
3
Name
Order
Citations
PageRank
Shengwei Mei119634.27
Stephen A. Billings270.91
L. Z. Guo317016.55